Terms of Use for Zenkit AI
Effective date: June 1, 2026
1. Scope
These AI Terms of Use apply in addition to the general Terms of Use, the EULA, the applicable contract, the data processing agreement, and any other agreed terms governing use of the platform.
They govern the use of AI features within the platform, in particular the integrated AI assistant and AI features in workflows and processes.
In the event of a conflict between these AI Terms of Use and the general Terms of Use, these AI Terms of Use prevail with respect to the use of AI features.
2. Organization-based use
AI features are used in the context of an organization.
A user may be a member of multiple organizations. The organization currently selected—or the organizational context in which the AI assistant, a workflow, or a process is used—determines how AI features may be used.
Activation, configuration, use, and billing of AI features are organization-based. AI usage is attributed to the organization account in whose context the respective AI feature is used.
Where the organization is the contracting party, use of AI features takes place within that contractual relationship.
The organization decides in particular:
- whether AI features are enabled or disabled,
- which users may use AI features,
- which permissions and access controls apply,
- whether AI features may be used in workflows and processes,
- which review and approval mechanisms are required,
- which credit limits apply to users, groups, workflows, or processes.
Responsibility for activating, configuring, using, and internally controlling AI features lies with the respective organization or operator.
3. Activation of AI features
AI features may be activated by an authorized organization administrator or another appropriately authorized person.
By activating, the activating person confirms:
- that they are authorized to activate AI features for the organization,
- that they accept these AI Terms of Use,
- that they understand AI-generated content and actions should be reviewed,
- that AI usage may incur costs or consume credits,
- that automated workflows may repeatedly consume AI credits.
The platform may log consent to activation, including organization, user, time, activated feature, version of the AI Terms of Use, and version of pricing or credit information.
Material changes to AI features, data processing, the cost structure, or these AI Terms of Use may require renewed consent.
4. Purpose of AI features
AI features are intended to support:
- creating and editing content,
- analyzing and structuring information,
- automating workflows,
- supporting operational processes,
- preparing workflow-related actions.
AI features are designed as assistive tools, not as fully autonomous decision-making systems.
AI features do not replace professional, legal, organizational, or human review and responsibility.
5. Integrated AI assistant
The integrated AI assistant is provided via Amazon Bedrock on AWS infrastructure within Europe.
This may use AI models within Amazon Bedrock, for example Claude models from Anthropic.
According to current provider information, inputs and responses from the integrated AI assistant are not used to train or improve the underlying AI models.
Depending on permissions and configuration, the AI assistant helps users with, among other things:
- creating and editing content,
- analyzing and summarizing information,
- creating or modifying processes,
- creating or modifying databases, lists, and structures,
- editing fields and configurations,
- creating, modifying, or deleting data,
- preparing or executing workflow-related actions.
The AI assistant operates solely within the roles, permissions, and access controls configured by the organization.
The AI assistant is currently optimized in particular for process-related tasks, such as creating, modifying, analyzing, or structuring processes. General or very open-ended requests are possible but may currently be comparatively costly and should be used deliberately.
6. AI in workflows and processes
The platform supports AI features within workflows and processes.
AI features may be used here as process or node types, for example to:
- analyze content,
- process external inputs,
- generate content,
- classify or structure data,
- prepare workflow-based actions,
- support automated processes.
Depending on configuration, certain AI-assisted process steps may run automatically.
Organizations are responsible for establishing appropriate review, approval, and control mechanisms for their respective processes.
We strongly recommend using human review and approval steps for sensitive or high-risk processes.
7. Bring Your Own Model in workflows and processes
Within workflows and processes, the organization may—depending on configuration—use its own or external AI models or model providers.
Responsibility for selecting, configuring, compliance, security, data protection, and cost control of such external models and providers lies with the respective organization or operator.
Depending on the model provider used, different technical, organizational, legal, and regulatory conditions may apply.
Organizations should in particular verify:
- in which regions data is processed,
- which data protection and security standards apply,
- whether inputs or responses are stored or further processed,
- whether data is used to train or improve external models,
- which costs arise with the external provider,
- which regulatory requirements apply to the respective use case.
Costs, terms of use, privacy terms, and billing models of external model providers are outside the platform’s scope of responsibility unless expressly agreed otherwise.
8. Processing of external content and third-party data
Particular care is required when AI features process content from external or unverified sources, in particular:
- emails,
- form submissions,
- webhooks,
- external documents,
- messages,
- automatically imported content,
- other third-party data.
External content may contain incorrect, misleading, or unexpected information that can affect AI-generated results or automated processes.
Organizations are responsible for establishing appropriate security, review, and approval mechanisms when processing external content.
This applies in particular before AI-assisted actions are executed automatically, sensitive data is processed, or external systems are invoked.
9. Human oversight and approvals
The platform supports human review and approval mechanisms.
Depending on configuration, AI-generated content, data changes, or process actions may be reviewed and approved by users before execution.
Certain automations may, however—depending on configuration by the organization—run without an additional manual approval step.
Organizations are responsible for establishing appropriate control and approval mechanisms for their respective use cases.
This applies in particular to legal, financial, organizational, personal, or business-critical processes and decisions.
10. Permissions and access control
AI features operate within the roles, permissions, and access controls configured by the organization.
The platform supports in particular:
- single sign-on,
- SAML-based authentication,
- SCIM provisioning,
- multi-factor authentication,
- role-based access control,
- organization and permission models,
- secure session and authentication mechanisms,
- activity and change histories,
- configurable approval and review processes.
AI features cannot retrieve data or perform actions outside the rights, roles, or automation contexts assigned in each case.
Organizations are responsible for granting permissions on a least-privilege basis and reviewing them regularly.
11. Storage and visibility of AI data
AI interactions may be stored within the respective organization.
This may include in particular:
- inputs to the AI assistant,
- responses from the AI assistant,
- chat histories,
- inputs and outputs of AI features in workflows and processes,
- technical execution data,
- activity and change histories.
Chats with the AI assistant are stored in the context of the respective organization but are generally visible only to the user who conducted the respective chat, unless other features, legal obligations, security requirements, or organizational rules expressly provide otherwise.
AI interactions within workflows and processes may be stored in the respective process, workflow, or activity context and are subject to the organization’s roles, permissions, and access controls.
Backups, technical logs, or system-related records may temporarily contain additional copies or technical traces. Specific retention follows the applicable technical, contractual, and data protection rules.
12. Transparency, history, and recovery
The platform supports traceable and auditable workflows.
Changes by users or AI features may remain traceable via activity histories, histories, or state tracking.
Historical states and activity data may help organizations manually trace changes or, where applicable, reverse them.
Depending on the use case, complete automatic recovery may not be guaranteed in all cases. The platform does not provide a universal automatic recovery mechanism for all AI-assisted actions.
13. Data processing and privacy
Content is processed technically to provide AI features.
AI features of the integrated AI assistant are provided via Amazon Bedrock on AWS infrastructure within Europe.
According to current provider information, inputs and responses from the integrated AI assistant are not used to train or improve the underlying AI models.
For Bring Your Own Model configurations in workflows and processes, the data processing terms of the external model provider chosen by the organization apply.
Please continue to treat confidential, personal, or especially sensitive information with appropriate care.
Despite high security and privacy standards, residual risks in cloud-based processing can never be fully excluded.
14. AI credits and usage fees
Use of certain AI features may be billed or limited via AI credits.
One AI credit corresponds to a usage value of 1 US cent.
AI credits are attributed to the organization account in whose context the respective AI feature is used. Use by individual users, groups, workflows, or automations may consume that organization’s credit allowance.
The organization may purchase, top up, or receive AI credits as part of a plan.
Our AI credits are based on the costs of the AI models and providers used. Depending on model, feature, and usage, a platform surcharge may apply.
This surcharge serves in particular to provide, integrate, secure, bill, monitor, scale, and further develop AI features.
Applicable prices, credit packages, or consumption rates follow the current price overview, the selected plan, the administration area, the order process, or an individual agreement.
15. Consumption of AI credits
Consumption of AI credits may depend in particular on:
- the AI model used,
- the volume of inputs and outputs processed,
- the length and complexity of prompts and responses,
- use of tools, workflows, or automations,
- processing of documents, databases, lists, or external content,
- technical factors such as model routing, context size, retries, or execution frequency.
Automated workflows and processes may repeatedly consume AI credits, even without immediate manual user action.
If no individual limit is set for users, groups, workflows, or processes, use of AI features may consume the organization’s general credit allowance.
16. Cost control and limits
Organizations can control use of AI features through technical and organizational settings.
This may include in particular:
- organization-wide activation or deactivation of AI features,
- credit allowances for the organization,
- limits for individual users,
- limits for groups,
- daily limits,
- weekly limits,
- monthly limits,
- restrictions for specific workflows, processes, or automations.
These limits serve cost control and help organizations govern internal use of AI features.
The organization is responsible for establishing appropriate limits, permissions, and control mechanisms.
17. Currency, pricing, and local billing
AI credits are based on US dollars because most underlying AI models and providers currently bill usage costs in US dollars.
Depending on country, contract, payment method, or billing model, prices may be displayed and charged in a local currency, for example euros.
The price shown in the order process, administration area, or contract is authoritative.
Prices, credit consumption values, and billing models may be adjusted, in particular when model prices, infrastructure costs, exchange rates, or technical framework conditions change. Changes will be communicated in accordance with contractual provisions or legal requirements.
18. No payout or transferability of credits
AI credits are solely for using AI features within the platform.
They are not a means of payment and cannot be paid out or transferred unless expressly agreed otherwise.
Credits are assigned to the respective organization account.
Credit consumption may be rounded technically or aggregated into billing units.
19. Purchase of AI credits
When purchasing AI credits, the selected credit package, price, currency, applicable taxes, and payment terms are shown in the order process.
The purchase is completed only when the authorized person expressly confirms the purchase.
The platform may log the purchase, including organization, user, time, selected package, price, currency, and underlying terms.
20. Availability and technical limitations
Availability of individual AI features may vary depending on external model providers, infrastructure, technical integrations, or network connections.
AI features may be temporarily limited, delayed, or unavailable.
There is no guarantee of permanent availability, error-free operation, or suitability of individual AI features or model providers for a particular purpose.
21. Responsibility for content and results
Users and organizations remain responsible for using, reviewing, and approving AI-generated content and actions.
AI-generated content does not constitute legal, tax, financial, medical, or other professional advice.
The platform makes no warranty as to completeness, accuracy, or suitability of AI-generated content for a particular purpose.
22. Regulatory responsibility
Organizations are responsible for verifying whether their specific use cases are subject to regulatory requirements, in particular in connection with:
- the EU AI Act,
- the GDPR,
- employment law requirements,
- industry-specific compliance requirements,
- internal governance policies.
Responsibility for lawful use of the platform lies with the respective organization or operator.
23. Changes to the AI Terms of Use
These AI Terms of Use may be updated, in particular when AI features, model providers, cost structure, technical architecture, legal requirements, or security requirements change.
Material changes may require renewed consent.
24. Additional information
Additional information on practical use, security, and control of AI features is available on the information page “Zenkit AI: Use, Security, and Control.”
Additional information on credits, consumption values, prices, and limits is available on the page “AI pricing model: Credits, consumption, and limits.”
For paid orders, the prices and terms shown in the order process, administration area, or contract are authoritative.